AI Infrastructure TPM: GPU Cluster Deployment

GMI Cloud; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

GMI Cloud is seeking a Technical Program Manager to drive end-to-end deployment of AI GPU clusters and oversee production readiness across data center infrastructures. You will coordinate with solution architects, engineers, vendors, and contractors to ensure timely delivery of scalable GPU infrastructure.

The role focuses on hardware BOM design, server architecture, and network integration, with responsibility for cross-region collaboration and field deployment management in a fast-paced AI

Qualifications

• 5+ years experience in technical program or infrastructure project delivery.
• Experience with GPU cluster deployments or high-performance computing environments.
• Familiarity with GPU server architecture and distributed computing infrastructure.
• Experience working with Infrastructure Solution Architects to define system architecture and hardware BOM.
• Experience managing data center hardware deployments and system integration.

Responsibilities

• Lead the end-to-end deployment of AI GPU clusters, from infrastructure planning through production launch.
• Drive coordination across Infrastructure Solution Architects, network engineers, hardware vendors, and data center teams.
• Manage delivery timelines covering hardware deployment, network integration, cluster bring-up, and production readiness.

Skills

Technical Program Management

HPC infrastructure

GPU cluster deployments

Cross-region coordination

Job description

GMI Cloud is seeking a Technical Program Manager to drive end-to-end deployment of AI GPU clusters and oversee production readiness across data center infrastructures. You will coordinate with solution architects, engineers, vendors, and contractors to ensure timely delivery of scalable GPU infrastructure.

The role focuses on hardware BOM design, server architecture, and network integration, with responsibility for cross-region collaboration and field deployment management in a fast-paced AI